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Gemma 7B
About Gemma 7B
Gemma 7B is an AI model developed by Google DeepMind, in the language category, released in 2024, made available as an open-weights model with 8.5B params.
On this page you'll find Gemma 7B's full specifications, including 19 benchmark results. Review provider pricing and benchmark scores below, or compare Gemma 7B head-to-head with other language models.
Links
Run Gemma 7B locally — what to buy
Share this build ↗Sized to what Gemma 7B actually needs (~8k context at Q4), not to the biggest GPU: Good = cheapest that runs it, Better = best value, Best = most headroom. Speed is a hardware estimate; anything past ~120 tok/s is shown as instant.
Software support
✓ measured · · compatible · — not supported. Informational only — speed is hardware-based.
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Gemma 7B benchmark scores▶
| Benchmark | Category | Score | Variant |
|---|---|---|---|
| HumanEval | code | 37.2% | base-cited-qwen2-7b |
| MBPP | code | 50.6% | base-cited-qwen2-7b |
| C-Eval | general | 43.6% | base-cited-qwen2-7b |
| IFEval | general | 26.59% | cited-falcon-mamba |
| MMLU | general | 64.6% | base-cited-qwen2-7b |
| MMLU | general | 64.56% | cited-falcon-mamba |
| MMLU-Pro | general | 33.7% | base-cited-qwen2-7b |
| MMLU-Pro | general | 21.64% | cited-falcon-mamba |
| ARC-Challenge | knowledge | 61.09 | cited-falcon-mamba |
| GSM8K | math | 50.87% | cited-falcon-mamba |
| GSM8K | math | 46.4% | base-cited-qwen2-7b |
| MATH | math | 24.3% | base-cited-qwen2-7b |
| BIG-Bench Hard | reasoning | 55.1% | base-cited-qwen2-7b |
| BIG-Bench Hard | reasoning | 21.12% | cited-falcon-mamba |
| GPQA Diamond | reasoning | 25.7% | base-cited-qwen2-7b |
| GPQA Diamond | reasoning | 4.92% | cited-falcon-mamba |
| HellaSwag | reasoning | 82.2 | cited-falcon-mamba |
| Winogrande | reasoning | 79.01 | cited-falcon-mamba |
| TruthfulQA | safety | 44.79% | cited-falcon-mamba |
More models like Gemma 7B
Frequently asked questions
What is Gemma 7B? ▶
Gemma 7B is an AI model developed by Google DeepMind, in the language category, released in 2024. It is tracked on GenAIList with its specifications, benchmark scores and provider pricing.
Who created Gemma 7B? ▶
Gemma 7B was developed by Google DeepMind and released in 2024.
Is Gemma 7B open source or proprietary? ▶
Gemma 7B ships as an open-weights model: you can download and self-host the weights, though the licence may place some restrictions on use.
How much does Gemma 7B cost? ▶
Pricing for Gemma 7B depends on the provider. See the providers table on this page for the latest API rates.
How does Gemma 7B perform on benchmarks? ▶
Gemma 7B is benchmarked across 19 evaluations on GenAIList, including HumanEval (37.2%). See the full benchmark table below and compare it with other models.
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